Research

Methods, benchmarks, and datasets for useful work.

The first version is static. The structure leaves room for a separate database, API, and downloadable series later.

Data Spine

A small schema before a big system.

The initial dataset should prioritize consistent definitions over infrastructure.

EUR / accepted task

Useful work cost

Inference, tools, review time, failures, and rework in one economic unit.

Quality gain / EUR

Marginal intelligence return

Where paying for a stronger model, more context, or more reasoning changes the result.

Minutes / output

Human review burden

The supervision cost that determines whether automation is economically real.